45 research outputs found

    A antecipação no cinema de animação 3D

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    A animação tem uma longa história, desde os brinquedos ópticos do século XIX até à recente animação por computador. O cinema mudo teve uma enorme importância para a criação de um estilo cómico na animação e também para o estudo de princípios básicos de animação, que hoje em dia são usados por animadores profissionais. Foi em 1930 que animadores dos estúdios Walt Disney criaram os doze princípios de animação. Esses princípios são agora a base para todos os animadores. Pretende-se fazer uma análise a estes doze princípios, de modo a focar a antecipação, e desenvolver uma análise mais profunda deste último. A antecipação, para um animador, tem como principal função guiar o espectador para aquilo que ele pensa que vai acontecer, através de ritmos diferentes e de exagero de acções que fazem com que uma simples situação seja empolgante e também cómica. Esta dissertação pretende estudar a antecipação no cinema de animação 3D, por dois motivos: por ser um estilo cinematográfico em evidente ascensão e porque o projecto final foi desenvolvido em 3D. Pretende-se que, no final da dissertação, o leitor conheça qual o papel da antecipação no processo de animação de um filme de animação 3D.Animation has a long history, from nineteenth-century optical toys to the latest computer animation. Silent film had an enormous importance for the creation of a comic style animation and also for the study of the basic principles of animation, which today are used by professional animators. It was in 1930 that Walt Disney Studios animators created the twelve principles of animation. These principles are now the basis for all animators. This dissertation aims tomake an analysis ofthese twelve principles in order to focus on the principle of anticipation, and develop a deeper analysis it. Anticipation for an animator, whose main function is to guide the viewer to what he thinks will happen, will happen through different rhythms and exaggeration of actions that make a simple situation exciting and also comical. This thesis aims to study the anticipation in3D animatedfilms for two reasons: because it is an emerging cinematic style and because the final project was developed in 3D. It is intended that at the end of the thesis, the reader knows what the role of anticipation in the animation process of a 3d animated film is

    Nursing knowledge on skin ulcer healing: a living scoping review protocol

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    Objective: This review aims to continuously map the nursing knowledge on skin ulcer healing in any context of care. Introduction: Chronic wounds are an increasing concern for society and health care providers. Pressure ulcers and venous ulcers, among others, have devastating effects on morbidity and quality of life and require a systematic approach. The nursing process is an important method that allows a better organization and overall care quality for a systematic and continuous professional approach to nursing management of skin ulcers. The integration of this nursing knowledge in informatics systems creates an opportunity to embed decision-support models in clinical activity, promoting evidence-based practice. Inclusion criteria: This scoping review will consider articles on nursing data, diagnosis, interventions, and outcomes focused on people with skin ulcers in all contexts of care. This review will include quantitative, qualitative, and mixed methods study designs as well as systematic reviews and dissertations. Methods: JBI’s scoping review guidance, as well as the Cochrane Collaboration’s guidance on living reviews, will be followed to meet the review’s objective. Screening of new literature will be performed regularly, with the review updated according to new findings. The search strategy will map published and unpublished studies. The databases to be searched include MEDLINE, CINAHL, Scopus, JBI Evidence Synthesis, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and PEDro. Searches for unpublished studies will include OpenGrey and Reposito´ rios Cientı´ficos de Acesso Aberto de Portugal. Studies published in English and Portuguese since 2010 will be considered for inclusion.info:eu-repo/semantics/publishedVersio

    Nursing knowledge of people with paresis of voluntary muscles: a living scoping review protocol

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    Objective: This review aims to continuously map the nursing knowledge about people with paresis of voluntary muscles in any context of care. Introduction: Muscle paresis is a condition that significantly impacts quality of life. Nurses have a crucial role in managing this condition, particularly paresis of voluntary movement muscles. However, nursing knowledge about patients with paresis of voluntary muscles is dispersed, hampering the integration of evidence within the structure of information systems. Mapping how the nursing process components are identified is the first step in creating a Nursing Clinical Information Model for this condition, capable of integrating evidence into information systems. Inclusion criteria: This scoping review will consider studies focusing on the nursing process regarding people with paresis of voluntary muscles in all care contexts. The review will include quantitative, qualitative, and mixed-methods study designs, systematic reviews, clinical guidelines, dissertations, and theses. Methods: The review process will follow JBI's scoping review guidance, as well as the Cochrane Collaboration's guidance on living reviews. Screening of new literature will be performed regularly, with the review being updated according to new findings. The search strategy will map published and unpublished studies. The databases to be searched will include MEDLINE, CINAHL, Scopus, JBI Evidence Synthesis, and the Cochrane Central Register of Controlled Trials. Searches for unpublished studies will include OpenGrey and Repositorios Cientificos de Acesso Aberto de Portugal. Studies published in English and Portuguese from 1975 will be considered for inclusion.info:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

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    The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

    Mitochondrial physiology

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    As the knowledge base and importance of mitochondrial physiology to evolution, health and disease expands, the necessity for harmonizing the terminology concerning mitochondrial respiratory states and rates has become increasingly apparent. The chemiosmotic theory establishes the mechanism of energy transformation and coupling in oxidative phosphorylation. The unifying concept of the protonmotive force provides the framework for developing a consistent theoretical foundation of mitochondrial physiology and bioenergetics. We follow the latest SI guidelines and those of the International Union of Pure and Applied Chemistry (IUPAC) on terminology in physical chemistry, extended by considerations of open systems and thermodynamics of irreversible processes. The concept-driven constructive terminology incorporates the meaning of each quantity and aligns concepts and symbols with the nomenclature of classical bioenergetics. We endeavour to provide a balanced view of mitochondrial respiratory control and a critical discussion on reporting data of mitochondrial respiration in terms of metabolic flows and fluxes. Uniform standards for evaluation of respiratory states and rates will ultimately contribute to reproducibility between laboratories and thus support the development of data repositories of mitochondrial respiratory function in species, tissues, and cells. Clarity of concept and consistency of nomenclature facilitate effective transdisciplinary communication, education, and ultimately further discovery

    Mitochondrial physiology

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    As the knowledge base and importance of mitochondrial physiology to evolution, health and disease expands, the necessity for harmonizing the terminology concerning mitochondrial respiratory states and rates has become increasingly apparent. The chemiosmotic theory establishes the mechanism of energy transformation and coupling in oxidative phosphorylation. The unifying concept of the protonmotive force provides the framework for developing a consistent theoretical foundation of mitochondrial physiology and bioenergetics. We follow the latest SI guidelines and those of the International Union of Pure and Applied Chemistry (IUPAC) on terminology in physical chemistry, extended by considerations of open systems and thermodynamics of irreversible processes. The concept-driven constructive terminology incorporates the meaning of each quantity and aligns concepts and symbols with the nomenclature of classical bioenergetics. We endeavour to provide a balanced view of mitochondrial respiratory control and a critical discussion on reporting data of mitochondrial respiration in terms of metabolic flows and fluxes. Uniform standards for evaluation of respiratory states and rates will ultimately contribute to reproducibility between laboratories and thus support the development of data repositories of mitochondrial respiratory function in species, tissues, and cells. Clarity of concept and consistency of nomenclature facilitate effective transdisciplinary communication, education, and ultimately further discovery

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
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